In NumPy we can find the length of one array element in a byte with the help of itemsize . It will return the length of the array in integer. And in the numpy for calculating total bytes consumed by the elements with the help of nbytes.
Syntax: array.itemsize
Return :It will return length(int) of the array in bytes.
Syntax: array.nbytes
Return :It will return total bytes consumed by the elements.
Example 1:
Python
import numpy as nparray = np.array([1,3,5], dtype=np.float64)# Size of the array print(array.size)# Length of one array element in bytes,print( array.itemsize)# Total bytes consumed by the elements # of the arrayprint(array.nbytes) |
Output:
3 8 24
Example 2:
Python
import numpy as nparray = np.array([20, 34, 56, 78, 1, 9], dtype=np.float64)# Size of the arrayprint(array.size)# Length of one array element in bytes,print(array.itemsize)# Total bytes consumed by the elements# of the arrayprint(array.nbytes) |
Output:
6 8 48
